π¨ Image Color Palette Extractor
Pull dominant colors from any photo into a copy-ready palette.
How to Extract a Color Palette
Upload any photo, choose how many colors you want, and click Extract Palette. The tool analyzes the pixels, clusters them into dominant hues, and presents each as a swatch with its hex code. Click a swatch to copy it, or export the whole set as CSS variables.
Upload a photo: a landscape, product shot, artwork, or any image whose colors you like.
Set the number of colors (3 to 10). Start with 6 for a representative palette.
Pick Balanced for true dominant colors or Vibrant to favor punchy, saturated hues.
Click any swatch to copy its hex code, or export everything as CSS variables.
How Dominant Color Extraction Works
Behind the scenes, your image is sampled down to a coarse grid of a few thousand pixels, which is plenty for color statistics and keeps the analysis instant. The tool then runs k-means clustering: it picks starting color centers, assigns every sampled pixel to the nearest center, moves each center to the average of its members, and repeats until the groups stabilize. This finds the colors that actually dominate the image rather than a naive average, which for most photos would collapse into an unhelpful grayish brown. Vibrant mode pre-weights pixels by saturation so vivid accents like a red jacket or a neon sign earn their own cluster instead of being swallowed by large areas of sky or pavement. The final palette is sorted by cluster size, so the first swatch is the most dominant color in the frame. This same family of algorithms powers the "dominant color" features in design tools and photo organizers, and it runs here entirely on your device.
Using Extracted Palettes in Design
A photo-derived palette guarantees harmony because the colors already coexist in a real scene. Use the top two or three swatches for backgrounds and large surfaces, and the smaller accent clusters for buttons, links, and highlights that need to pop. For web work, paste the CSS variables straight into your stylesheet and reference them across components to keep the design tied to the imagery. Brand designers use extraction to build secondary palettes from campaign photography, ensuring marketing materials feel cohesive. If the palette feels too muted, re-run in Vibrant mode; if it feels chaotic, drop the color count to focus on the essentials. Pair this tool with the random palette generator when you want theory-based harmonies instead of photo-derived ones.
Frequently Asked Questions
How does the palette extractor find dominant colors?
The tool samples your image down to a small grid, then runs k-means clustering on the pixel colors: it groups similar colors together and finds the center of each group. The result is a palette of the most visually dominant hues rather than a simple average, which would just produce muddy brown for most photos.
How is this different from the random color palette generator?
The random palette generator invents harmonious color schemes from color theory, which is great for starting a design from scratch. This extractor pulls real colors out of your uploaded photo, which is ideal when you need a palette that matches existing photography, brand imagery, or a mood board.
How many colors can I extract?
You can choose between 3 and 10 colors. Fewer colors give you the big, bold dominant hues: sky blue, grass green, skin tone. More colors reveal subtle accents like shadow tones and highlights. Six is a good default that captures the essence without noise.
Can I copy the colors for use in design software?
Yes. Click any swatch to copy its hex code instantly. The Export buttons give you the whole palette as CSS variables, a plain hex list, or an ASE-style text block you can reference when rebuilding the palette in Photoshop, Figma, or Illustrator.
Why do some extracted colors look dull or grayish?
Photos contain lots of mid-tone and shadow pixels that cluster into desaturated colors. If you want punchier results, try the Vibrant mode, which weights saturated pixels more heavily, or increase the color count so vivid accents get their own slots instead of being averaged into the background.
Are my photos uploaded to a server?
No. Pixel sampling and clustering run entirely in your browser via the Canvas API. Your images never leave your device, so client photos and unreleased work stay private. The analysis finishes in seconds even on modest hardware. Because no data leaves your machine, you can use client assets without violating confidentiality agreements.